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Director Enterprise Data Management Jobs (NOW HIRING)

Alkermes

Director, R&D Data Governance

Waltham, MA · On-site

Reporting to the Executive Director, Enterprise Data Management, you will support the establishment of the new function as well as help to define and operationalize the strategy and operating model ...

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How much do director enterprise data management jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director enterprise data management in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

What does a director of enterprise data management do?

A Director of Enterprise Data Management is responsible for overseeing the strategy, governance, and operations of an organization’s data assets. This role ensures that data across the business is accurate, secure, and accessible to support decision-making and compliance. The director works closely with IT, business units, and executives to define data policies, manage data quality, and implement data management technologies. They also lead teams that develop data standards and drive initiatives to maximize the value of data within the organization.

What is the difference between Director Enterprise Data Management vs Data Governance Manager?

AspectDirector Enterprise Data ManagementData Governance Manager
ResponsibilitiesOversees enterprise-wide data strategies, architecture, and data management programsFocuses on establishing and maintaining data policies, standards, and compliance
Required CredentialsTypically requires a bachelor’s or master’s in data management, IT, or related fields; certifications like CDMP are commonOften requires similar credentials; certifications like CDMP or DGMP are advantageous
Work EnvironmentWorks across departments, managing data teams and strategic initiativesCollaborates with data stewards and compliance teams to enforce data policies
Industry UsageCommon in large organizations with complex data needsUsed in organizations emphasizing data quality and compliance

The main difference is that the Director Enterprise Data Management leads overall data strategies and architecture, while the Data Governance Manager focuses on implementing data policies and ensuring data quality and compliance within the organization.

What are some common challenges faced by a director of enterprise data management, and how can they be addressed?

A Director of Enterprise Data Management often encounters challenges such as ensuring data quality across disparate systems, achieving stakeholder alignment on data governance policies, and managing data security and compliance requirements. Addressing these challenges typically involves establishing clear data standards, fostering cross-departmental collaboration, and investing in robust data management tools. Regular communication with executive leadership and ongoing staff training are also essential to maintain data integrity and support organizational goals.

What are the key skills and qualifications needed to thrive as a director of enterprise data management, and why are they important?

To thrive as a Director of Enterprise Data Management, you need expertise in data governance, data architecture, and analytics, typically supported by a bachelor’s or master’s degree in computer science or a related field. Familiarity with tools such as SQL, data warehousing platforms, data integration software, and relevant certifications like CDMP (Certified Data Management Professional) are often required. Strong leadership, strategic thinking, and effective communication are vital soft skills for guiding teams and aligning data initiatives with business goals. These skills ensure the organization's data assets are secure, reliable, and leveraged to drive informed decision-making and competitive advantage.
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Director Enterprise Data Management jobs near you
Infographic showing various Director Enterprise Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Director, R&D Data Governance

Alkermes

Waltham, MA • On-site

Full-time

Re-posted 28 days ago

Job description


Position Summary
This role is the first R&D-focused data governance position within Alkermes' new Enterprise Data Management function and will play a foundational role in shaping how R&D data is governed, enabled, and scaled across the organization. Reporting to the Executive Director, Enterprise Data Management, you will support the establishment of the new function as well as help to define and operationalize the strategy and operating model that ensure R&D data is trusted, discoverable, secure, and usable across discovery, preclinical, and clinical domains. You will co-develop and operationalize the R&D data vision, multi-year roadmap, and governance framework-including data acquisition, curation, quality, metadata, and access controls-so scientists and analysts can reliably self-serve data while maintaining compliance and integrity. You will partner closely with R&D, IT, and enterprise Data & AI teams to make recommendations, align with functional leaders, and implement scalable data management capabilities that embed governance into day-to-day workflows. In this role, you will serve as a key connector across functions, translating scientific and business needs into recommendations around durable data products, policies, and processes that accelerate decision-making and innovation.
Responsibilities
Essential Areas of Responsibility
R&D Data Strategy:
  • Guide the process to define and communicate the R&D data vision and maintain a multi-year roadmap spanning governance, architecture alignment, acquisition, curation, and data utilization across critical R&D domains (e.g., discovery, translational research, biomarkers).
  • Collaborate with the Director, Enterprise Data Governance and R&D leaders to co-develop, recommend, and operationalize R&D data governance frameworks, operating models, and processes, including forums, decision rights, escalation paths, and success metrics.
  • Work with R&D, IT, and Data & AI leaders to align priorities, sequence investments, and ensure governance enables scientific outcomes.
  • Drive adoption of FAIR data principles through pragmatic standards, embedded workflows, and data literacy programs.
  • Partner with R&D leaders to identify, procure, and document R&D data assets and capabilities needed to support priority scientific and business use cases, making recommendations and gaining alignment on scope, sequencing, and implementation approaches

Data Standards, Stewardship, and Quality:
  • Establish and lead R&D data governance operating model and processes including implementing metrics to monitor governance effectiveness and data maturity; Partner to implement R&D data stewardship policies, roles, and responsibilities
  • Define and establish policies to enable R&D data quality standards (e.g., metadata, ontologies, controlled vocabularies, etc.) with the Data Governance Committee
  • Collaborate on evaluation, selection, and implementation of data management platforms and tools (e.g., data catalogs, access control systems, data lakes), and identify places where R&D can develop fit-for-purpose platforms using existing enterprise tools
  • Define procedures for data validation, verification, and monitoring to ensure accuracy, completeness, and traceability; Implement metadata management, data lineage, and data quality practices
  • Work closely with the INDIGO program and IT to recommend and help implement data standards, metadata, quality practices, and access patterns that ensure R&D data assets are AI-ready and suitable for intended analytical and AI/ML use cases

R&D Business Enablement:
  • Provide guidance and training to R&D teams on data governance best practices, and act as the primary liaison between R&D, IT, and enterprise data management functions
  • Partner with data management and engineering teams to ensure effective ingestion, curation, and integration of R&D datasets (e.g., omics, imaging, clinical, etc.)
  • Partner with IT and compliance teams to recommend and implement access controls that ensure appropriate data use and compliance with internal policies and external regulations with the goal of enabling self-service data access for scientists and analysts while maintaining data integrity and security
  • Support and contribute to change management efforts to foster a data-centric culture within R&D, and provide training and support to data users and stakeholders on data management best practices

Qualifications
Preferred Qualifications:
Personal Attributes:
  • Desire to shape the future of data-driven R&D innovation and collaborate with leading scientists, clinicals, and digital experts
  • Thrives in a fast-paced impact driven organization where your contributions are visible and meaningful
  • Self-starter with the ability to work with minimum supervision
  • Ability to multitask - effectively manage simultaneous work requests across departments, IT, and other cross-functional organizations
  • Willingness to learn new applications, tools, and approaches as additional needs arise
  • Strong work ethic, with a proven track record in successfully achieving goals
  • Proactive communication style
  • Direct experience working with medical claims, EMR, -omics, patent, and other life-science oriented data modalities is a plus
  • Excellent verbal and written communication skills with the ability to present to and interact with a diverse group of executives, managers, and subject matter experts

The annual base salary for this position ranges from $195,000 to $210,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here
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About Us
Why join Team Alkermes?
Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.
We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts' Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine.
Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law. Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Alkermes is an E-Verify employer.

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